Closed Loop Identification Using Takagi Sugeno Models

The continuous advances in systems theory have been based on precise process models, experimental models who includes the information of actuators, sensors, uncertainties and nonlinearities. The study presented as follows is focused on the development of a technique for closed loop identification using Youla Parametrization combined with Neuro Fuzzy nets. The proposed methodology have been evaluated over SISO and MIMO plants achieving great precision on the different cases where is tested, resulting on an excellent option for process models construction for development of new theories in control design.